Reactive power optimization of electric power system incorporating wind power based on Parallel Immune Particle Swarm Optimization

This paper aims at the characteristics of reactive power optimization of the electric power system with the wind farm; proposing a new method for reactive power optimization on the entire power grid which uses the Parallel Immune Particle Swarm Optimization. It uses integer and real number hybrid encoding, improves the efficiency of compiling. And it combines the continuous and discrete particle swarm optimization, and introduces immune operators to improve the convergence precision. IEEE-14 and IEEE-30 system simulation examples show that the new method has better global convergence ability, faster convergence rate and higher accuracy.